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Computational aging book

Welcome to the Computational Biology of Aging coursebook

Biology of Aging

1. Introduction to Aging Biology

Statistical analysis

2. Differential expression analysis
3. Omics Data Analysis in Aging: Methylomics
Practice - WGCNA for Methylomics

Biomarkers of Aging

4. Survival analysis
Practice - Survival analysis with ML
5. Advanced survival analysis
Practice - Deep survival analysis
6. Aging Clocks
Practice - DIY Aging Clocks

Models of Aging

7. Complex systems approach
8. System resilience

Student projects 2023

Projects 2023 (1-st wave)
Projects 2023 (2-nd wave)

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Projects 2023 (2-nd wave)

Projects 2023 (2-nd wave)#

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Unsupervised aging

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Transcriptomics-based longevity drug discovery

By Kriukov Dmitrii
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